{"id":"W2904714574","doi":"10.1109/iiswc.2018.8573474","title":"Gene Sequencing: Where Time Goes","year":2018,"lang":"en","type":"article","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bottleneck; Computer science; Pipeline (software); Execution time; Software; Acceleration; Parallel computing; Microarchitecture; Focus (optics); DNA sequencing; Embedded system; Operating system; DNA; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005190193,0.001278507,0.0008715649,0.001569982,0.001163123,0.007216586,0.001968991,0.00277966,0.01296089],"category_scores_gemma":[0.01473974,0.0006145259,0.0004312762,0.002302827,0.002897997,0.01099493,0.00251291,0.004208328,0.009486794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189177,"about_ca_system_score_gemma":0.002804383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003880474,"about_ca_topic_score_gemma":0.004076295,"domain_scores_codex":[0.9964209,0.0007240872,0.0001820292,0.001052081,0.001341646,0.000279338],"domain_scores_gemma":[0.9888764,0.005011219,0.0008233224,0.001188705,0.002846535,0.001253793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008708478,0.0001205961,0.00494506,0.001521015,0.000154751,0.0002408967,0.001108396,0.004408079,0.02927767,0.1107961,0.1200054,0.7265511],"study_design_scores_gemma":[0.00005973362,0.0004500744,0.00412082,0.001045039,0.0001016407,0.0006396658,0.001498424,0.0073716,0.01169929,0.1913257,0.7815217,0.0001662804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05828753,0.2323734,0.3293799,0.2472873,0.01765285,0.0002367735,0.004624983,0.00777735,0.1023798],"genre_scores_gemma":[0.3318358,0.15702,0.3523383,0.05986974,0.009676646,0.0004620149,0.005987898,0.005539697,0.0772699],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01296089,"threshold_uncertainty_score":0.04335845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153909501185011,"score_gpt":0.2253070266405348,"score_spread":0.2137679316286847,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}